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Artificial intelligence

July 21, 2020 by Zaid Nisar with 0 comments

Artificial Intelligence And Climate Change

Over the years, Artificial intelligence (AI) has become an important component of almost every company’s agenda for digital transformation. Users of AI have also become producers of different AI tools and services. Corporate leaders have come forward with an individual directive on promotion, promulgation and advancement of Artificial intelligence. It is estimated that by 2021, Artificial intelligence could create $2.9 trillion in terms of business value. Moreover, it can also generate 6.2 billion hours when it comes to worker productivity. Within the context of these important assumptions, it has been forecasted by PwC that A.I. could contribute nearly $15.7 trillion to the global economy by the year 2030.

Even though the whole world is now very optimistic regarding AI-led cases and demands huge investments, one key element is getting far less attention than it ideally should. That element is climate change. Researchers are integrating climate change and Artificial intelligence for environmental sustainability. It is important to note that machine learning, Robotics and Artificial intelligence in Pakistan may help to unlock insights from the significant amounts of complicated climate simulations that have been generated by the area of climate modeling.

Different AI approaches for combating climate change

When it comes to climate change, there are two different approaches to Artificial intelligence. One is rules-based and the other is learning-based. Both approaches to AI have used valid cases when it comes to studying the environment as well as solving climate change.

Rules-based AI includes coded algorithms of if-then statements that are used to solve simple problems. For climate, a rules-based AI is useful to help scientists compile data or crunch numbers. This can also help to save humans a lot of time for manual labor. On the contrary, learning-based AI is relatively more advanced when compared with rules-based AI. This is because it diagnoses issues by interacting with the problem. Learning-based AI also has the capacity for memory but the same can’t be said for rules-based AI.

AI is being in different sectors to improve environmental sustainability. AI can be used to improve energy efficiency in a city by incorporating data from smart meters as well as the Internet of Things to forecast energy demand. For instance, the green horizon project by IBM is an example of AI that comprises of self-configuring weather and pollution forecasts. IBM has also created the project with a possibility that they can help cities to become more efficient. Their aspirations have also become a reality in China. From 2012 and 2017, IBM’s Green Horizon project also helped the city of Beijing to decrease their average smog levels by 35%.

Warm temperatures can have a significant influence on agriculture too. Data derived from sensors in the field that monitor and evaluate soil composition, crop moisture and temperature can help AI to improve production. It can help to figure out when crops need water. Incorporating this data from drones could help to increase automatic AI. These systems have an inherent sense to know the most optimum time to spray, plant, harvest crops and to head off diseases and various other problems.

AI and machine learning are also being used to protect the oceans and the seas. The Ocean data alliance is also using Artificial intelligence and machine learning to provide data from satellites and ocean exploration. This allows decision-makers to monitor shipping, ocean mining, coral bleaching, fishing or the possible outbreak of a marine disease. With access to real-time data, authorities would be able to respond to problems in a quick and efficient manner.

Artificial intelligence could also help to predict the spread of invasive species, monitor ocean currents, follow marine litter, keep track of dead zones and also help to measure pollution levels. This can help Pakistan and other countries across the world to be better prepared for any disasters in the future.

Future outlook for AI and climate change

It is evident that the purpose of Artificial intelligence(AI) is to assist mankind in solving problems. The fact can’t be denied that climate change has now proven to be a complicated problem that humans have now become great at studying. However, we are yet to view a positive future-outlook from environmentalists in the news. Machine learning, robotics and Artificial intelligence could also be used to portray positive potential scenarios that would only be possible if people were allowed to do more in their regular lives to help combat issues related to climate change.


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